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Studying
:shipit:
Studying
3 followers · 2 following
  • USC Marshall School of Business
  • Los Angeles, California
  • LinkedIn in/jecocheung

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Jecoc907/README.md

Typing SVG


Welcome to my Github playground 🕺🏻

Hi this is Jeco! I am currently a graduate student majoring in Business Analytics at the University of Southern California's Marshall School of Business. With a background in economics and accounting, I have spent three years in the tax accounting industry and am now transitioning into the entertainment sector.

Throughout my academic and professional journey, I have worked on various projects in market analysis (Airbnb, Streaming platforms), sports performance analysis (NBA, ATP), gaming industry analysis(how does Twitch viewership affect a game's popularity) and financial models analysis(Option pricing model). These experiences have equipped me with a diverse skill set and a strong analytical foundation, which I am eager to apply in the dynamic world of entertainment.

Personal & Academic Projects I have worked on:

Projects

Academic Projects
Title Description Technologies
Streaming-Ecosystem-Analysis In this project, we focused on a television studio and the decision-making process for producing our next TV show. We conducted a market analysis to understand the content offerings on mainstream platforms like Netflix, Hulu, and Amazon Prime Video, and explored potential market opportunities. Link-to-presentation PythonCanva
NBA-Power-Partnership-Analysis In this project, we want to learn and analyze why are certain basketball teams are successful. The 19-20 Lakers champion team with the power partnership duo, LeBron James and Anthony Davis, was used as an example. Link-to-presentation PythonCanva
Options-Pricing-with-ML-models Our goal in this project was to develop statistical and machine learning models to replicate the functionality of the traditional Black-Scholes option pricing formula, specifically for valuing European call options. Link-to-presentation PythonCanva
My Personal Projects
Title Description Technologies
Causal-Relationship-Analysis-Twitch-viewership-vs-Active-Players In this project, our group is interested in whether there is causal relationship between a game’s Twitch viewership and its active player engagement. We are using the case of Tom Clancy’s Rainbow Six Siege as a primary example, and extending the analysis to Counter-Strike 2 and Rust. Link-to-presentation PythonCanva

Skills

Languages

HTML5

Databases

ML/DL

Matplotlib NumPy Pandas SciPy scikit-learn

Tools

Git

Pinned Loading

  1. Streaming-Ecosystem-Analysis Streaming-Ecosystem-Analysis Public

    In this project, we focused on a television studio and the decision-making process for producing our next TV show. We conducted a market analysis to understand the content offerings on mainstream p…

    Jupyter Notebook 1

  2. Options-Pricing-with-ML-models Options-Pricing-with-ML-models Public

    Our goal in this project was to develop statistical and machine learning models to replicate the functionality of the traditional Black-Scholes option pricing formula, specifically for valuing Euro…

    Jupyter Notebook

  3. NBA-Player-Injuries-Analysis NBA-Player-Injuries-Analysis Public

    The purpose of this project is to try to predict the occurrence of injuries based on player's in-game statistics.

    Jupyter Notebook 2 2

  4. NBA-Power-Partnership-Analysis NBA-Power-Partnership-Analysis Public

    In this project, we want to learn why are certain basketball teams are successful. The 19-20 Lakers champion team was used as an example.

    Jupyter Notebook 1